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Table of Contents

        1. What is Regression?
        2. When to Use Linear Regression Vs. Multi...
        1. Defining SPSS Input Options for Linear ...
        2. Interpreting Linear Regression Output V...
        3. Interpreting Linear Regression Output C...
        1. What is Multiple Regression?
        1. Testing Assumptions: Linearity & its Te...
        2. Testing Assumptions: Independence of Er...
        3. Testing Assumptions: Homoscedasticity o...
        4. Testing Assumption: Multivariate Normality
        5. Testing Assumptions: Multicollinearity
        1. Enter Method
        2. Stepwise Regression
        3. Backward Elimination Method
        4. Forward Selection Method
        5. Remove Method
        1. What is Hierarchical Regression Analysi...
        2. Setting Data and Defining Model in Hier...
        3. Refining Model and Detecting Multicolli...
        4. Taming Bad Data Using beta, R squared a...
        5. Interpreting the Output of Hierarchical...

Contents

Regression Analysis Using SPSS

1
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    • SPSS

    Year of Creation: 2017

    Posted Online on: 29 July 2017

    Duration: 1 Hour 35 Minutes

    Course Description

    This course offers a fundamental introduction to Regression Analysis Using IBM SPSS Statistics® Software. Regression analysis and reporting are an integral part of any scientific study. Regression can be called the most commonly used statistical technique along with correlation in the research literature. Therefore, this course provides a focused explanation of regression along with its different types and related concepts. This course covers Linear Regression, Multiple Regression, and Hierarchical Regression Analysis

    Learning Outcomes

    On completion of this course you will be able to:

    • Understand basic concepts of Regression
    • Conduct, interpret and write results based on linear regression
    • Conduct, interpret and write results based on linear multiple regression
    • Conduct, interpret and write results based on hierarchical regression

    Requirements

    • Familiarity with basic research process will be helpful but not essential.
    • A keen desire to master Statistics and SPSS
    • A laptop with internet connection
    • Familiarity with basic computer and operating system

    Recommended Foundation Course(s)

    Students are expected to be familiar with the following Foundation course(s) before going through this course:

    • IBM SPSS Statistics Foundation Course

    Questions and Answers

    Premium Members can post their course related questions and problems in Discussion Forum to get a response.

    Certification

    You will receive a course completion certificate after completion of the course.

    Citation

    APA Style Citatation for this course:

    Singh, S. (2017). Regression Analysis Using SPSS (1st ed.). New Delhi: Scholarsight. Retrieved from https://scholarsight.com/courses/course-v1:Scholarsight+SPSS02+2020/about

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    Instructor

    Ritesh Chouhan
    Ritesh Chouhan

    Scholarsight is a Knowledge Organization. Our mission is to humanize scientific methods through technology-enabled learning. We are building Galaxy's biggest library of courses for scientists, inventors, and professionals.

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